This paper introduces a solution for controlling RDF data manipulation operations. We propose a formal approach to manage any modification, query or adaptation of the data to satisfy end-user/application criteria (e.g., RDF filtering). An overview of the RDF data manipulation framework with its main components is first presented. We then introduce the RDF-oriented Composition Definition Languag...

One of the most popular applications of Semantic Web technology is the integration of data from distributed locations over the Web. With wrappers, screen scrapers, and information extraction tools it is possible to access, merge, and reason over RDF data from various different, heterogeneous sources. SPARQL can be used to access RDF data in a declarative manner and as will be shown, it can also...

The Semantic Web is an extension of the current Web in which information on the Web is given well-defined meaning, better enabling computers and people to work in cooperation. The technical foundation of the Semantic Web is RDF, a semi-structured data model resembling directed labelled graphs. Semantics of data are given by ontologies that are encoded using a specialized vocabulary called RDF S...

RDF data are used to model knowledge in various areas such as life sciences, Semantic Web, bioinformatics, and social graphs. The size of real RDF data reaches billions of triples. This calls for a framework for efficiently processing RDF data. The core function of processing RDF data is subgraph pattern matching. There have been two completely different directions for supporting efficient subg...

This paper presents the OGSA-DAI-RDF middleware that extends OGSA-DAI access to RDF database s ystems, e.g., Sesame and Jena. Several OGSA-DAI activities for handling RDF data and ontology are imp lemented. The query language interface is based on SPARQL query language. Introduction The National Institute of Advanced Science and Technology (AIST) of Japan started a 5-year project called AIST-SO...

Field experiment was conducted for 2 seasons to study the influence of drip fertigation in combination with or without bio fertilizers on yield, plant uptake and soil fertility of Bt cotton. The treatments comprised of four levels of drip fertigation viz., 75, 100, 125 and 150 per cent of recommended dose of fertilizers (RDF, NPK) combined with and without bio fertilizers, drip irrigation w...